This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 21–40 of 84 papers
Ru Wang, Junxiang Li, Ziyin Yang
This paper proposes a multi-energy collaborative pricing mechanism for virtual power plants (VPPs) under carbon trading regulation. It uses a bi-level optimization model to simultaneously maximize user utility and minimize supplier costs, c…
Wei Xu, Lu Zhang, Grace Kouassi
This paper proposes a bi-level optimization framework for coordinating carbon abatement across the multi-echelon power equipment supply chain under carbon quota and trading policies. The upper model minimizes lifecycle emissions, while the …
Chenqian Pan, Chaolin He
Using data from Chinese listed companies in carbon pilot regions (2013-2024), this study examines how carbon trading prices affect the quantity and quality of corporate green technological innovation. A two-way fixed effects model shows tha…
Luping Yu, Yongshan Zhang, Zihao Wang +2
This paper proposes a Bayesian Deep Reinforcement Learning framework for carbon credit pricing that combines probabilistic modeling, uncertainty propagation, and constraint-based reinforcement learning. Experiments across five datasets show…
Xiaohua Song, Tong Liu, Tianyu Wu +1
This paper develops a two-stage robust optimization method for park-level integrated energy systems with tiered carbon trading and bidirectional demand response. Case studies show 50.40% carbon emission reduction and 150 kW peak-valley diff…
Mengxue Ji, Mingsong Sun, S. Deng
This study examines whether China's carbon emissions trading system (CETS) reduces firms' air pollutant emissions. Using firm-level panel data from 1998-2014 and a staggered difference-in-differences design, the authors find that CETS reduc…
Shuyang Chen
This paper quantifies the health co-benefits of China's Emissions Trading Scheme (ETS) from reduced PM2.5 and O3 pollution using a Computable General Equilibrium model from 2025 to 2060. It finds that both pollutants negatively impact labor…
Murat Yıldız, Abdurrahim Akgundogdu, Güldem Elmas
This study develops a distribution-free causal forecasting framework for voyage-level CO2 intensity, using 1440 real-world voyages on four Nigerian coastal routes. A physics-informed LightGBM model with leave-one-route-out protocol predicts…
Süleyman Atılgan, M. Alım, R. Çöteli
This paper analyzes the impact of carbon pricing (carbon tax and emissions trading) on energy costs and security in Türkiye. Using the Levelized Unit Cost of Energy (LCOE) method under different carbon price scenarios, it finds that higher …
O. Olawore, Y. Kuti, Kazeem O. Oyerinde +7
Through a systematic review of literature from 2007-2024, this paper analyzes the effects of carbon taxes and emissions trading systems on GHG reduction, technological innovation, and structural change. It examines challenges such as distri…
Hao Li, Yuxiao Lei, Nuo Li +2
This study uses China's pilot ETS as a quasi-natural experiment. Using panel data of 284 Chinese cities from 2003-2017 and a multi-period DID approach, it finds that the ETS effectively reduces total carbon emissions and carbon intensity th…
Yan Zhang
Using a multi-period DID model on Chinese A-share listed firms (2009-2022), this study finds that participation in China's carbon emissions trading scheme significantly improves firms' ESG performance, partially mediated by digital transfor…
Nergis Feride Kaplan Donmez
This study examines the effects of carbon taxes and emissions trading systems (ETS) on CO2 emissions in OECD countries from 2002 to 2023 using panel data analysis. Both instruments are found effective in reducing emissions in the long run b…
Chien‐Chiang Lee, G. Olasehinde-Williams
This paper examines the impact of the EU Emissions Trading System (ETS) on the carbon content of imported goods embedded in domestic final demand within the Eurozone. It provides evidence on carbon leakage and the effectiveness of emissions…
Mariusz Pyra
This paper analyzes the long-run co-evolution of carbon pricing mechanisms, emissions coverage, and revenues using annual global time-series data (1990-2024). It finds a robust positive correlation between the number of mechanisms and cover…
Rui Tang, Dingyao Yu, Yanping Li +5
This study conducts an ex-post analysis of carbon pricing's emission reduction effects and mechanisms using international data. Results show that carbon pricing significantly reduces emissions, with higher prices leading to greater reductio…
Shafiq Tumusiime, Yongjun Li
This study analyzes how China's carbon emissions trading system (ETS) drives eco-efficiency in coal-fired power generation, revealing mechanisms for a low-carbon energy transition.
Xinyang Wei, Liangyu Chen, Yikun Lan +2
This paper analyzes spillover effects of the EU ETS on global equity markets from 2013 to 2021. Using contagion analysis and DCC-GARCH, it finds a positive association between EU carbon allowance prices and stock market performance worldwid…
Chen Lyu, Ke Wang, Bofeng Cai +1
Using a balanced panel of 1,957 thermal power units from 2018 to 2024, this study estimates the causal impacts of compliance pressure under China's national emissions trading scheme (CN ETS) on CO2 emissions. Units with allowance deficits r…
Xiaoqin Lu, Tianfen Yu, Yuanjun Huang +1
This study uses double machine learning to examine the impact of carbon emissions trading schemes (ETS) on corporate debt maturity structure. It finds that ETS may increase firms' reliance on short-term debt, highlighting how climate policy…
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